دانلود مقاله ISI انگلیسی شماره 53010
ترجمه فارسی عنوان مقاله

پیش بینی عمر مفید باقی مانده بر اساس سیگنال های نظارت بر وضعیت نویزی با استفاده از فیلتر کالمن محدود

عنوان انگلیسی
Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter
کد مقاله سال انتشار تعداد صفحات مقاله انگلیسی
53010 2016 13 صفحه PDF
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : Reliability Engineering & System Safety, Volume 152, August 2016, Pages 38–50

ترجمه کلمات کلیدی
باقی مانده عمر مفید - سیگنال های نظارت بر وضعیت؛ فیلتر کالمن محدود
کلمات کلیدی انگلیسی
Remaining useful life; Condition monitoring signals; Constrained Kalman filter
پیش نمایش مقاله
پیش نمایش مقاله  پیش بینی عمر مفید باقی مانده بر اساس سیگنال های نظارت بر وضعیت نویزی با استفاده از فیلتر کالمن محدود

چکیده انگلیسی

In this paper, a statistical prognostic method to predict the remaining useful life (RUL) of individual units based on noisy condition monitoring signals is proposed. The prediction accuracy of existing data-driven prognostic methods depends on the capability of accurately modeling the evolution of condition monitoring (CM) signals. Therefore, it is inevitable that the RUL prediction accuracy depends on the amount of random noise in CM signals. When signals are contaminated by a large amount of random noise, RUL prediction even becomes infeasible in some cases. To mitigate this issue, a robust RUL prediction method based on constrained Kalman filter is proposed. The proposed method models the CM signals subject to a set of inequality constraints so that satisfactory prediction accuracy can be achieved regardless of the noise level of signal evolution. The advantageous features of the proposed RUL prediction method is demonstrated by both numerical study and case study with real world data from automotive lead-acid batteries.